EPITEC

Business Analyst 4

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst IV on a 6-month W2 contract, fully onsite in Englewood Cliffs, NJ, with a pay rate of $54.00 - $56.00 per hour. Key skills include SQL, Tableau, and Python, with 3+ years in data analytics and eCommerce experience required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
448
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πŸ—“οΈ - Date
March 3, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Englewood Cliffs, NJ
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🧠 - Skills detailed
#Business Analysis #R #Computer Science #Leadership #BI (Business Intelligence) #SAS #SQL (Structured Query Language) #Predictive Modeling #Data Manipulation #Strategy #Python #Statistics #Visualization #Data Integrity #Tableau #Data Quality
Role description
Business Analyst IV Job Type: W2 Contract Contact Duration: 6 Months, Possible Extension Schedule: Fully Onsite Work Location: Englewood Cliffs, NJ, USA Pay Rate: $54.00 - $56.00 per hour Top Skills β€’ SQL β€’ Tableau β€’ Python Role Overview The Business Analyst IV will support the e-Commerce Operations team by mining, analyzing, and delivering data-driven insights that drive operational learnings and business growth. This role partners closely with Business Intelligence and cross-functional stakeholders to develop dashboards, identify KPIs, and influence data-backed decision making across fulfillment, returns, operations, and customer experience. Key Responsibilities β€’ Mine, develop, and distribute actionable insights to support e-Commerce Operations growth. β€’ Partner with the Business Intelligence team to ensure data integrity across dashboards related to Fulfillment, Returns, Operations, and NPS. β€’ Design and develop customized Tableau dashboards to support Fulfillment Operations. β€’ Identify KPIs, create holistic measurement frameworks, and perform historical benchmarking. β€’ Analyze channel-specific operations data using multiple sources, including Vertica, Tableau, Kibana, and eCommerce business platforms. β€’ Conduct multivariate, A/B, and user testing to validate hypotheses with data-driven outcomes. β€’ Apply advanced analytics to uncover business growth opportunities. β€’ Provide data-driven thought leadership to improve forward and reverse operations, leveraging predictive modeling where appropriate. β€’ Continuously enhance analytics processes and tools by integrating new data sources. β€’ Prepare reports and support Weekly Business Reviews (WBRs) with meaningful insights. β€’ Collaborate proactively with stakeholders to translate data initiatives into actionable solutions aligned with business priorities and strategy. Required Qualifications β€’ Bachelor’s degree in Engineering, Computer Science, Business, or a related field. β€’ 3+ years of hands-on experience in Data Analytics, with a focus on Operations. β€’ 3+ years of experience in data manipulation and analysis using SQL. β€’ 3+ years of experience designing, executing, and measuring A/B and multivariate tests. β€’ Experience working in an eCommerce and/or Digital Commerce environment. β€’ Strong proficiency in Tableau (or similar BI and visualization tools). β€’ Excellent problem-solving skills. β€’ Strong communication and data presentation abilities. Preferred Qualifications β€’ MBA or Master’s degree in Analytics, Statistics, or another quantitative field. β€’ 5+ years of experience with statistical analysis and predictive modeling using tools such as Python, R, SAS, or STATA. Traits & Behaviors for Success β€’ Confident, succinct communicator who translates complex data into clear business insights for all stakeholder levels. β€’ Proven experience collaborating with cross functional teams and building strong interdepartmental relationships. β€’ Strong critical thinking, creativity, and problem-solving skills. β€’ Ability to navigate data quality issues and work across disparate data sources. β€’ Comfortable operating at both detailed and strategic levels. β€’ High intellectual curiosity with a passion for analytics and experimentation. β€’ Self-starter with the ability to deliver results under minimal supervision. β€’ Adaptable and comfortable reprioritizing work in a fast-paced environment. β€’ Focused on outcomes and business impact rather than tools or processes. β€’ Enjoys working in a collaborative, entrepreneurial, and data-driven culture. #INDPRO